Staff Fraud Analyst

SoFi Technologies
Seattle, San Francisco, New York
Workplace: OnsiteFull timeUSD 115,200 - 216,000 annuallyFunction: CybersecurityExperience: 5+ yearsEducation: bachelorsSkills: ["Analytical thinking","Statistical analysis","Cross-functional communication","Stakeholder alignment","Proactive leadership"]

Build and scale fraud decisioning for debit card transactions and authentication flows, turning login, entity, and tokenization signals into real-time risk detections for account takeover and high-risk activity. Architect robust SQL/Python analytics and data structures, optimize precision using false positive rate modeling, and lead cross-functional initiatives that balance security with customer experience friction. Drive end-to-end risk-decisioning procedures across MFA/3DS frameworks and related authentication processes.

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FursaFursa
SoFi Technologies
SoFi Technologies
4 months ago

Staff Fraud Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Build and scale fraud decisioning for debit card transactions and authentication flows, turning login, entity, and tokenization signals into real-time risk detections for account takeover and high-risk activity. Architect robust SQL/Python analytics and data structures, optimize precision using false positive rate modeling, and lead cross-functional initiatives that balance security with customer experience friction. Drive end-to-end risk-decisioning procedures across MFA/3DS frameworks and related authentication processes.
Location: Seattle, San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Sr. Manager level

Key Responsibilities

  • •Architect and scale robust table structures and analytics using expert-level SQL and Python for global risk detection and real-time reporting.
  • •Design fraud decisioning strategies using login, entity, and tokenization signals to neutralize Account Takeover (ATO) and high-risk transactions.
  • •Lead cross-functional initiatives by translating technical risks into business logic and aligning stakeholders on security vs. user friction.
  • •Optimize detection precision via statistical analysis and False Positive Rate (FPR) modeling to protect the customer “Golden Path”.
  • •Execute end-to-end risk-decisioning procedures for debit card transactions and authentication frameworks (MFA/3DS), ensuring proactive, scalable defenses.

Pay and Benefits

Salary: USD 115,200 - 216,000 annually

Key Requirements

  • •BA/BS in Statistics, Information Systems, Mathematics, Data Science, or related fields, or equivalent work experience.
  • •5+ years in fraud analytics, including managing risk-decisioning strategies and mitigating debit card fraud losses (ATO, 3DS, CNP, tokenization).
  • •Experience with authentication frameworks and exposure to authentication flows including MFA/IDV.
  • •Deep expertise balancing fraud mitigation with UX to protect conversion and retention.
  • •Expert-level SQL and Python skills to build automated, high-volume data architectures and statistical models.
Experience:5+ yearsFraud analyticsDebit card fraud
Education:Bachelor's in Statistics, Information Systems, Mathematics, Data Science
Skills:Analytical thinkingStatistical analysisCross-functional communicationStakeholder alignmentProactive leadership
Languages:English
Tech Stack:SQLPythonMFA3DSIDVTokenization

Company Brief

SoFi Technologies
Provides digital financial services including lending, banking, investing, and credit products through a consumer-focused online platform. SoFi serves individuals looking to manage money, borrow, save, invest, and protect their finances in one place.
Industry: Neobanking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2011
WebsiteLinkedIn